读取计划
AI agents call read_plan to retrieve information from Code Analysis MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool reads or queries plan data without modifying, deleting, or executing any operations. It is a pure read operation that retrieves information, consistent with the Read category definition of tools that retrieve or query data with no side effects.
From the tool's definition Tool name 'read_plan' and description '读取计划' (which translates to 'read plan' in Chinese) indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
读取计划. It is categorised as a Read tool in the Code Analysis MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Code Analysis MCP Server MCP server in PolicyLayer and add a rule for read_plan: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Code Analysis MCP Server. Nothing to install.
read_plan is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the read_plan rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for read_plan. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
read_plan is provided by the Code Analysis MCP Server MCP server (zeocax/code-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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